Past approaches to conditioned NLG still fall short in several ways.
With that in mind, we took inspiration from recent work [1]} and proposed four methods for conditioned NLG that is simple, flexible and effective, such that only the original base LM is needed.
We displayed a few samples for single and multiple conditions NLG.
Experiments are conducted for single condition modeling and sentiment modeling, and these samples are evaluated based on their fluency and diversity.
A note on the inadequacy of our appraoches is appended at the end.
